GEOG 586
Geographic Information Analysis

Instructor Information

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Welcome to Geog 586: Geographic Information Analysis!


Instructor Information


Amy C. Burnicki

Amy C. Burnicki

Amy Burnicki is Associate Teaching Professor in the Department of Geography and an instructor for GEOG 580: Geovisual Analytics and GEOG 586: Geographic Information Analysis. Her research applies spatial data analysis, spatial statistics, and quantitative modeling approaches in the field of Land Change Science and in transportation and environmental engineering applications. Amy’s work integrates GIScience technologies and quantitative methods to quantify and model landscape patterns, with a particular interest in the impact of error and uncertainty on land change analyses. More recently, Amy has worked on several transportation engineering projects to improve pedestrian volume estimation and describe pedestrian crossing compliance on local roadways by incorporating measures of land development intensity. In addition, Amy collaborated with environmental engineering researchers on projects examining the vulnerability of Connecticut’s water system infrastructure to a changing climate. Amy received her Ph.D. in Natural Resources & Environment from the University of Michigan and her M.S. in Statistics from Penn State.


Amy Griffin

Amy Griffin
Amy Griffin

Information coming soon

 

 

 

 


Marcela Suarez

Marcela Suarez
Marcela Suarez

Hi, I am Marcela Suarez. I am an assistant teaching professor of spatial data science in the Department of Geography at Penn State. I teach courses on cartography, GIS, and spatial data analysis in the online geospatial education program offered by the John A. Dutton e-Education Institute.

I earned my PhD in geography from the University of California, Santa Barbara. Broadly my research interests lie at the intersection of geographic information science, cartography, and emergency management. In my research, I use spatial analysis, geovisualization, machine learning, and data mining techniques to understand how user-generated content and volunteered geographic information can be used along with other official data sources to inform how social and environmental phenomena are experienced at a local scale. My research contributes to understanding the role of information contributed by the general public in emergency management. Additionally, it informs us about the use of different spatial clustering methods, spatial aggregation techniques, and content analysis techniques to both summarize social media data and conflate them with other official data for decision making.

Prior to joining Penn State, I was a research specialist at the Center for Spatial Studies at the University of California, Santa Barbara. In the past, I also worked as a consultant for the United Nations Development Program for Adaptation to Climate Change in the Colombian Massif, and as GIS specialist for different governmental organizations in Colombia.


Fritz Kessler

Fritz Kessler
Fritz Kessler

Hi, I am Fritz Kessler. I am a teaching professor in the Department of Geography at Penn State. I teach courses on cartography, GIS, and spatial data analysis in the online geospatial education program offered by the John A. Dutton e-Education Institute. I also teach resident courses in similar topics in the Department of Geography at Penn State. Two of my noted publications include Thematic Cartography and GeoVisualization (4th edition) and Working with Map Projections: A Guide to their Selection

All three of my degrees (BS, MS, and PhD) are in geography with a concentration on cartography. During my undergraduate schooling, I learned how to make maps using Leroy lettering, mylar, ink pens, scribing, and photomechanical reproduction. My first exposure to computer generated maps was through programming FORTRAN on mainframe computers. Most of my early years of professional cartography work (working for the USGS) were hand drafted and scribed maps that were produced photomechanically. I've hand drawn the world many many times. But, those days are gone, thankfully. By the time I began working on my MS degree, desktop mapping was becoming popular. It is during my MS that I learned how to use Aldus Freehand, a graphic illustration package for Apple computers - specifically the Macintosh 512K. During my PhD, I was introduced to command line ArcInfo and its Windows interface derivative ArcView. Now cartography is vastly different than it was 30+ years ago. It continues to be an exciting time to be a cartographer. I hope you feel the same way too.

Before coming to Penn State, I was a professor and chair at Frostburg State University where I taught courses such as Fundamentals of Cartography, Geographic Visualization, Cartometrics, Advanced Cartography, Boundary Surveying, Research Methods, and GIS. 

Here is a bit of background on my professional career as a cartographer. I've worked as a cartographer for the USGS, Intergraph Corp, and R. R. Donnelley and Sons (that later on was bought by MapQuest). Most of the maps I drew for the USGS were hand-drawn. However, it was while working for the USGS that I was first introduced to the Apple Macintosh SE30 computer which created "electronic type" (type printed on sticky-back tape that would be applied to Mylar). Not having to hand letter maps or use Zip-a-Tone transfer lettering was a huge time saver. While working for Intergraph Corp. (which no longer exists in name) I was a programmer for their GIS product: MGE (coding in C). I did a ton of map production work at R.R. Donnelley and Sons (using mostly Adobe Illustrator - version 6.0 I recall which was really buggy). Here is one of the publications I worked on at Donnelley: A travel atlas published through Reader's Digest. I also worked as a map librarian for the T. R. Smith Map Library at the University of Kansas. This was a really fun job for a cartographer but it was hard to get my work done since all I wanted to do was look at the paper maps in the map drawers. One of the jobs I like the most is being a free-lance cartographer. I never know what cartographic project will come across my desk next.